Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145893
Title: On robustness paradox in air traffic networks
Authors: Cai, Qing
Alam, Sameer
Duong, Vu
Keywords: Engineering::Aeronautical engineering
Issue Date: 2020
Source: Cai, Q., Alam, S., & Duong, V. (2020). On robustness paradox in air traffic networks. IEEE Transactions on Network Science and Engineering, 7(4), 3087-3099. doi:10.1109/TNSE.2020.3015728
Journal: IEEE Transactions on Network Science and Engineering 
Abstract: Air traffic is operated in an air traffic network (ATN) environment. It is pertinent to improve the robustness of ATNs as they are frequently exposed to manifold uncertainties which can break down their functioning components. Existing studies improve the robustness of an ATN by either rewiring its links or adding more ones. In this paper we discover the robustness paradox phenomenon in ATNs. Specifically, we claim to improve the robustness of an ATN by removing its links. In order to determine the links whose removal can improve an ATN's robustness, we develop a bi-objective optimization model with one objective maximizing the network's robustness and the other one minimizing the number of links to be removed. We further apply and modify a non-dominated sorting genetic algorithm (NSGA-II) to optimize the developed model. We then carry out experiments on nine real-world ATNs to validate the effectiveness of the proposed idea. We also compare the modified NSGA-II algorithm against NSGA-III, and MODPSO, which are famous and efficient multiobjective evolutionary algorithms. Experiments indicate that NSGA-II outperforms the compared algorithms and that robustness paradox phenomenon does exist in ATNs. This work provides a new perspective for aviation decision makers to better design and manage ATNs.
URI: https://hdl.handle.net/10356/145893
ISSN: 2327-4697
DOI: 10.1109/TNSE.2020.3015728
Rights: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TNSE.2020.3015728
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Journal Articles

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